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Matplotlib is a powerful Python library for creating static, animated, and interactive visualizations. It supports a wide range of plots such as line charts, bar charts, scatter plots, histograms, pie charts, and more. It integrates seamlessly with NumPy and Pandas, making it a go-to tool for data analysis and scientific research.
It offers two main interfaces:
Pyplot API (matplotlib.pyplot): A MATLAB-like interface for quick plotting.
Object-Oriented API: Provides more control and customization over figures and axes.
Basic Example – Line Plot
import matplotlib.pyplot as pltimport numpy as np# Datax = np.linspace(0, 2 * np.pi, 200)y = np.sin(x)# Create plotfig, ax = plt.subplots(figsize=(7, 4))ax.set_title('Sine Wave')ax.plot(x, y, label='sin(x)', color='blue')# Add labels and legendax.set_xlabel('X-axis')ax.set_ylabel('Y-axis')ax.legend()# Displayplt.show()Copied!✕CopyExplanation:
Matplotlib Tutorial - W3Schools
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